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Tag Archive for: #sepsis

Does Ethical AI Development Rely On The “Algorithmically” Underserved?

Press

11/29/22 Forbes – Does Ethical AI Development Rely On The “Algorithmically” Underserved? CHAI’s Mission

CHAI co-founders Dr. Halamka and Dr. Anderson and CHAI member Suchi Saria of Bayesian Health discuss the importance and timeliness of CHAI’s mission, and share how the organization plans to prioritize patient safety, reliability, equity, transparency, and trust in the healthcare AI development process.

“AI as a field is evolving very rapidly. As a result, there is variable expertise amongst groups in how to go about implementing it correctly and evaluating whether what they’ve implemented is working. There is significant opportunity to accelerate AI adoption by sharing best practices and developing guardrails that the broader community (government, payor and provider groups) can benefit from.” Dr. Suchi Saria

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Read the Forbes article

Read more about Bayesian Health’s approach to Adaptive AI

https://www.bayesianhealth.com/wp-content/uploads/2023/01/forbes-2022.png 720 1280 Josh https://www.bayesianhealth.com/wp-content/uploads/2023/01/Bayesian-Health-logo-2x-color.png Josh2022-11-29 13:47:362023-01-05 13:49:43Does Ethical AI Development Rely On The “Algorithmically” Underserved?

UCSF Health Hub: Digital Health Awards

Awards

11/21/22 – Press Release – Bayesian Health Winner of the 4th Annual UCSF | Health Hub: Digital Health Awards

Bayesian Health is proud to announce that we were selected from 1,200+ innovative companies as a 2022 UCSF Health Hub Digital Health Rising Star in the New Health Application of AI category. However, the big surprise came at the end of the ceremony when we were also selected as the rising champion across all categories!

Suchi Saria was there to accept the honors on behalf of her and Bayesian Health team’s amazing work this year! This distinction is especially meaningful as the Digital Health Awards honors outstanding health technologies and innovations dramatically transforming healthcare each year.

 

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Read the Press Release

Watch the Video

https://www.bayesianhealth.com/wp-content/uploads/2022/11/UCSF-digital-AWARD.png 720 1280 Josh https://www.bayesianhealth.com/wp-content/uploads/2023/01/Bayesian-Health-logo-2x-color.png Josh2022-11-21 16:30:402023-01-20 15:10:07UCSF Health Hub: Digital Health Awards

Early detection of sepsis with the help of AI

Press

11/20/22 Healthcare In Europe – Early detection of sepsis with the help of AI

Suchi Saria, PhD, director of the Machine Learning and Healthcare Lab at Johns Hopkins, who led this work, explains that TREWS automatically and continuously monitors disparate clinical data, including vital signs, laboratory data, medication history, procedure and clinical history, and physician notes. It generates a continuous real-time “sepsis score” that can trigger an alert to healthcare staff. Clinical caregivers can analyse why the TREWS alert was generated, accept or dismiss it, and initiate timely treatment on patients confirmed to be septic.

‘Our results showing high physician adoption and associated mortality and morbidity reductions are a milestone for the field of AI,’ comments Saria. ‘They are the culmination of nearly a decade of significant technological investment, deep collaboration, the development of novel techniques, and rigorous evaluation. Further, what’s most exciting here is that this approach is applicable not just to sepsis but to many other critical complications.’

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Read the Healthcare In Europe article

Read more about Bayesian Health’s approach to Adaptive AI

https://www.bayesianhealth.com/wp-content/uploads/2023/01/Healthcare-In-Europe-ARTICLE.png 720 1280 Josh https://www.bayesianhealth.com/wp-content/uploads/2023/01/Bayesian-Health-logo-2x-color.png Josh2022-11-20 12:00:452023-01-20 12:01:46Early detection of sepsis with the help of AI

Crain’s New York 2022 – Whole Health Heroes

Awards

11/10/22 Crain’s New York – 25 Whole Health Heroes Awarded to Suchi Saria

Suchi Saria was awarded the 3rd Annual Empire “Whole Health Heroes” Awards, recognizing exceptional New York leaders who are committed to innovation and leadership. The celebratory event featured keynote presentation by Alan J. Murray, President & CEO of Empire BlueCross BlueShield who addressed the impact of these individuals on NYC’s whole health. The in-person celebratory luncheon took place on November 10 at 12 noon ET at Manhattan Manor – New York, NY.

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Read the Crain’s article

Read more about Bayesian Health’s approach to Adaptive AI

https://www.bayesianhealth.com/wp-content/uploads/2022/11/Empire-BCBS-Whole-Health-Heroes-Award-2022.png 720 1280 Josh https://www.bayesianhealth.com/wp-content/uploads/2023/01/Bayesian-Health-logo-2x-color.png Josh2022-11-10 13:58:102023-01-20 15:27:17Crain’s New York 2022 – Whole Health Heroes

Doctors Still Struggle to Diagnose a Condition That Kills More Americans Than Stroke

Press

10/16/22 The Atlantic – Doctors Still Struggle to Diagnose a Condition That Kills More Americans Than Stroke

In July, Johns Hopkins researchers published a trio of studies in Nature Medicine and npj Digital Medicine showcasing an early-warning system that uses artificial intelligence. The system caught 82 percent of sepsis cases and significantly reduced mortality. While AI—in this case, machine learning—has long promised to improve health care, most studies demonstrating its benefits have been conducted using historical data sets. Sources told me that, to the best of their knowledge, when used on patients in real time, no AI algorithm has shown success at scale.

LINKS


Read The Atlantic article

Learn more about Bayesian’s peer-reviewed research on sepsis here

https://www.bayesianhealth.com/wp-content/uploads/2022/11/The-Atlantic.jpg 720 1280 integritive https://www.bayesianhealth.com/wp-content/uploads/2023/01/Bayesian-Health-logo-2x-color.png integritive2022-10-19 14:29:182023-01-05 16:53:44Doctors Still Struggle to Diagnose a Condition That Kills More Americans Than Stroke

A New AI Tool May Help Detect Blood Poisoning

Press

10/12/22 Smithsonian Magazine – A New, Transparent AI Tool May Help Detect Blood Poisoning

The most impressive aspect of TREWS, according to Zachary Lipton, an assistant professor of machine learning and operations research at Carnegie Mellon University, was not the model’s novelty, but the effort it must have taken to deploy it across five hospitals and 2,000 providers over a two-year period. “In this area, there is a tremendous amount of offline research,” Lipton said, but relatively few studies “actually make it to the level of being deployed widely in a major health system.” It’s so difficult to perform “in the wild” research like this, he added, because it requires collaborations across various disciplines, from product designers to systems engineers to administrators

LINKS


Read the Smithsonian Magazine article

Learn more about Bayesian’s peer-reviewed research on sepsis here

https://www.bayesianhealth.com/wp-content/uploads/2022/10/smithsonian-bayesian-health.png 720 1280 integritive https://www.bayesianhealth.com/wp-content/uploads/2023/01/Bayesian-Health-logo-2x-color.png integritive2022-10-12 10:00:122023-01-23 15:00:13A New AI Tool May Help Detect Blood Poisoning

What it takes for doctors to trust AI-triggered sepsis alerts

Press

09/26/22 AMA – What it takes for doctors to trust AI-triggered sepsis alerts

Increasing adoption in sepsis AI with Bayesian. “This is a breakthrough in many ways,” said study co-author Albert W. Wu, MD, director of the Center for Health Services and Outcomes Research at Johns Hopkins Bloomberg School of Public Health. “Up to this point, most of these types of systems have guessed wrong much more often than they get it right. Those false alarms undermine confidence.”

LINKS


Read the AMA article

Learn more about Bayesian’s peer-reviewed research on sepsis here

https://www.bayesianhealth.com/wp-content/uploads/2022/11/AMA.jpg 720 1280 integritive https://www.bayesianhealth.com/wp-content/uploads/2023/01/Bayesian-Health-logo-2x-color.png integritive2022-09-26 12:45:122023-01-05 16:56:28What it takes for doctors to trust AI-triggered sepsis alerts

Early Warning for Sepsis from Bayesian Health, Advances of AI in Clinical Care Continue

Press

09/08/22 Signify Research – Early Warning for Sepsis from Bayesian Health – Advances of AI in Clinical Care Continue

Rigorous evaluation of AI reducing sepsis mortality. Bayesian Health’s solution has demonstrated the positive outcomes that AI-based applications can have on detecting sepsis and reducing risk of mortality. The clinical evidence to support the positive outcomes from utilizing the platform is expected to create momentum within the industry, with other vendors striving to support their own solutions with proven clinical outcomes.

LINKS:


Read the Signify Research article

Learn more about Bayesian’s peer-reviewed research on sepsis here

https://www.bayesianhealth.com/wp-content/uploads/2022/12/signify-research-image.png 720 1280 integritive https://www.bayesianhealth.com/wp-content/uploads/2023/01/Bayesian-Health-logo-2x-color.png integritive2022-09-08 10:03:282023-01-04 12:53:36Early Warning for Sepsis from Bayesian Health, Advances of AI in Clinical Care Continue

Early warnings, few false alerts: What physicians want out of AI sepsis detection tools

Press

08/11/22 Becker’s Hospital Review – Early warnings, few false alerts: What physicians want out of AI sepsis detection tools

Mitigating sepsis risk with AI machine learning. “This tool makes every clinician more efficient and can let you manage more patients because there’s less work to do,” said Lee Sacks, MD, founding CEO of Advocate Physician Partners and former system chief medical officer of Downers Grove, Ill., and Milwaukee-based Advocate Aurora Health. “So I think, going forward … [staff] are going to choose to work in organizations that have a tool like this because it makes them more effective.”

LINKS


Read the Becker’s article

Learn more about Bayesian’s peer-reviewed research on sepsis here

https://www.bayesianhealth.com/wp-content/uploads/2022/12/Beckers-image.png 720 1280 integritive https://www.bayesianhealth.com/wp-content/uploads/2023/01/Bayesian-Health-logo-2x-color.png integritive2022-08-11 10:09:562023-01-04 12:52:48Early warnings, few false alerts: What physicians want out of AI sepsis detection tools

Early Warning System Can Identify Sepsis Patients

Press

8/03/22 HealthDay – Early Warning System Can Identify Sepsis Patients

“Our findings indicate the potential for high-precision alert systems to identify sepsis patients early and improve patient outcomes,” the authors write. “Furthermore, our findings among high-risk patients indicate that future alert systems may reduce overall alert burden by prioritizing alerts on certain patients.”

LINKS


Read the HealthDay article

Read more about Bayesian Health’s approach to Adaptive AI

https://www.bayesianhealth.com/wp-content/uploads/2023/01/HealthDay.png 720 1280 Josh https://www.bayesianhealth.com/wp-content/uploads/2023/01/Bayesian-Health-logo-2x-color.png Josh2022-08-03 14:05:492023-01-05 14:06:06Early Warning System Can Identify Sepsis Patients
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